Sea clutter suppression algorithm based on tunable Q-factor wavelet transform

被引：0
|
作者：
Zhang J. [1 ]
Dong M. [1 ]
Chen B. [1 ]
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 02期
关键词：
adaptive threshold selection; sea clutter suppression; sparse optimization; tunable Q-factor wavelet transform(TQWD);
D O I：
10.12305/j.issn.1001-506X.2023.02.03
中图分类号：
学科分类号：
摘要：
For the problem of low signal to clutter ratio in weak target detection under sea clutter, an improved sea clutter suppression algorithm based on tunable Q-factor wavelet transform is proposed. Since the energy of the sea clutter is much greater than the energy of the target, selecting parameters which match the characteristics of the sea clutter oscillation is proposed to conduct tunable Q-factor wavelet transform and obtain the coefficients of each wavelet sub-band. The wavelet coefficients are sparsely optimized for reconstructing the sea clutter. In order to judge whether the weak target signal exists, an adaptive threshold detection method is proposed. It uses the difference between the original echo signal and the reconstructed sea clutter as the detection sample to detect the weak target. The algorithm does not rely on specific models of sea clutter. Finally, the experimental results on a measured sea clutter data set show that the proposed algorithm is correct. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：343 / 351
页数：8
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